Triple
T17584120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dera Ghazi Khan Division |
E428274
|
entity |
| Predicate | hasUrbanCenter |
P2106
|
FINISHED |
| Object | Muzaffargarh city |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Muzaffargarh city | Statement: [Dera Ghazi Khan Division, hasUrbanCenter, Muzaffargarh city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muzaffargarh city Context triple: [Dera Ghazi Khan Division, hasUrbanCenter, Muzaffargarh city]
-
A.
Muzaffargarh
chosen
Muzaffargarh is a prominent city in southern Punjab, Pakistan, known as an administrative and commercial center situated near the confluence of the Chenab and Indus rivers.
-
B.
Jhang
Jhang is a historic city in the Punjab province of Pakistan, known for its cultural heritage and as the birthplace of several notable figures.
-
C.
Mandi Bahauddin
Mandi Bahauddin is a prominent city in Pakistan’s Punjab province, known as an agricultural and commercial hub in the region.
-
D.
Haripur
Haripur is a municipality-level town in Nepal’s Madhesh Province, known as a local administrative and commercial center in the southeastern Terai region.
-
E.
Haripur
Haripur is a city in northern Pakistan known as an administrative and commercial center in the Hazara region of Khyber Pakhtunkhwa.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e463d015fc8190b2dd897026d6fcb5 |
completed | April 19, 2026, 5:10 a.m. |
Created at: April 10, 2026, 5:50 a.m.